张琮1,,
1.西安电子科技大学通信工程学院 ??西安 ??710071
2.西安中电科西电科大雷达技术协同创新研究院有限公司 ??西安 ??710075
基金项目:国家自然科学基金(61201134)
详细信息
作者简介:付卫红:女,1979年生,副教授,研究方向为宽带无线通信、通信信号处理
张琮:男,1994年生,硕士生,研究方向为卷积盲源分离
通讯作者:张琮 czhang_8@stu.xidian.edu.cn
中图分类号:TN911.7计量
文章访问数:1943
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被引次数:0
出版历程
收稿日期:2017-12-06
修回日期:2018-04-23
网络出版日期:2018-07-12
刊出日期:2018-09-01
Independent Vector Analysis Convolutive Blind Separation Algorithm Based on Step-size Adaptive
Weihong FU1, 2,Cong ZHANG1,,
1. School of Telecommunication Engineering, Xidian University, Xi’an 710071, China
2. Collaborative Innovation Center of Information Sensing and Understanding, Xi’an 710075, China
Funds:The National Natural Science Foundation of China (61201134)
摘要
摘要:独立向量分析(IVA)是解决频域卷积盲分离排序模糊性最好的方法之一,但存在迭代次数较多、运算时间较长、分离效果易受分离矩阵初值影响的局限性。该文提出一种基于步长自适应的IVA卷积盲分离算法,该算法使用特征矩阵联合近似对角化(JADE)算法对分离矩阵进行初始化,并对步长参数进行了自适应优化。JADE初始化能够使分离矩阵具有合理的初值,避免局部收敛的情况;步长的自适应优化能够显著提升算法的收敛速度。仿真结果表明,该算法进一步提升了分离性能,并显著缩短了运算时间。
关键词:盲源分离/
卷积混合/
独立向量分析/
特征矩阵联合近似对角化/
步长自适应
Abstract:Independent Vector Analysis (IVA) is one of the best methods to solve the sort ambiguity of convolutive blind separation in frequency domain. However, it needs more iterations and computing time, and the separation effect is susceptible to the initial value of the separation matrix. This paper proposes an IVA convolutive blind separation algorithm based on step-size adaptive, which uses Joint Approximative Diagonalization of Eigenmatrices (JADE) algorithm to initialize the separation matrix and optimizes adaptively the step step-size parameters. JADE initialization can make the separation matrix have an appropriate initial value, thus avoiding the situation of local convergence; step-size adaptive optimization can significantly improve the convergence speed of the algorithm. Simulation results show that this algorithm improves the separation performance and shortens the operation time significantly.
Key words:Blind Source Separation (BSS)/
Convolutive mixture/
Independent Vector Analysis (IVA)/
Joint Approximative Diagonalization of Eigenmatrices (JADE)/
Step-size adaptive
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